Resources such as time, money and machines are fundamental
features of real-world planning problems. However,
conventional AI planning systems are not normally capable
of handling these requirements. In recent years, with the
ongoing orientation toward real-world applications, many
researchers have begun working on techniques for resource
handling. In this context, optimization goals other than
plan length are also gaining importance.

The workshop is intended to bring together researchers from
communities such as AI planning, scheduling, constraint
programming and linear programming. The workshop aims to
promote communication between researchers and seeks to
highlight new and interesting ideas for planning with
resources. Workshop topics will include:

In addition to paper presentations, there will be invited
talks and panel discussions addressing the following topics:

* Are conventional planning techniques still valid within
the extended framework or are there fundamental
differences that require a substantial revision of our
approaches?
* What can we learn from related areas such as operations
research and constraint programming? Can we - and, if so,
how can we - adopt these techniques?

--- ATTENDANCE ---

Attendance will be limited to 40 participants. Participants
will be selected based on refereed submissions. If you wish
to attend but are not submitting a paper, please send a
one-page statement of interest by the submission deadline.

Papers may be submitted by e-mailing a document's URL to the
workshop chair. If this is not possible, please contact the
workshop chair. Accepted submissions will be distributed and
included in the workshop notes.